北方华创则是率先打破这一局面的中国本土半导体设备企业。

1、云开体育 动力电池需求由整车厂主导，核心是“极致的性价比”。

小组赛阶段，他们与乌拉圭、沙特、佛得角同处H组，首轮被佛得角逼平爆出不小冷门，但随后球队迅速调整状态，连克沙特、乌拉圭，以小组头名出线。云开体育赢下国米后的最近8轮联赛，米兰累计丢掉12球，场均失球1.5粒，翻了一倍多，零封场次仅2场，零封率跌至25%。

2、基尔斯32+4+2无缘今日最佳！对不起，你碰到暴走的湖人落选秀了

Alo推出首个太阳镜系列 近日，Alo推出首个太阳镜系列，共有六款全新镜型，兼顾潮流设计、经典风格与日常实穿性。

3、山东泰山32年队史，9名射手奉献19顶帽子，哪一顶最璀璨夺目？

RoboChallenge的情况类似。

4、火箭对阵太阳前瞻 杰伦格林首度面对火箭 会交出什么样的成绩单

“假如我是做化工原料的，压一个简单的水瓶，大概率比专门做瓶子的厂商有优势。

5、留在英超的热刺：主业赚钱，副业踢球？

7月25日起，米兰将横跨欧亚澳多地，与凯尔特人、国米、切尔西、曼联等多支球队进行季前热身赛。

过去三年，其全球销售收入增长近50亿美元，连续22个季度实现正增长。

西班牙夺冠后，他的身价上涨2000万，达到2.2亿欧元，与哈兰德并列全球身价最高球员。

6、开拓者老板再挥“裁减”大刀：解雇王牌解说，NBA圈内被指“抠门”

阿根廷似乎更在意用各种方式打断比赛节奏，尽管帕雷德斯吃到黄牌，但西班牙全队的犯规次数和阿根廷一样多，都是十次。

两种诉求没有绝对对错，只是受众喜好不同，可正是这种天然的多元需求，让厂商的尝试都极易陷入众口难调的困境，引发争议成为必然的结果。

7、认识一下日本包袋顶流

阿浩说，提交开店申请后，选址开发人员三天两头给他打电话，有一次话说得很直接：“准备1万。

至于如何创新，是否会出现同质化，还需要拭目以待。

8、西部季后赛最有悬念的一场比赛 不仅关乎首轮对阵 还影响次轮对阵

但阿劳霍缺阵带来的防线隐患、努涅斯的状态问题、贝尔萨战术的体能瓶颈，都给比赛增添了变数。

AI手机，似乎真的来了。

这不是微调，而是整套思维方式的替换。

9、国人避讳了一辈子的事，终于有人展开说了

最近，关于米兰和尤文的中卫引援正在呈现出连锁反应。

然而到了2022年，全球电信市场和数通市场双双进入下行周期，光模块销量从2021年的1041万只滑落至2023年的745万只。

10、决胜巅峰国际女子邀请赛再创收视新高，Team Vitality蝉联冠军

在代言之外，品牌同步推出多款名周边与玩法，包括卡骆驰樊振东笔记本套装、乒乓球拍发声玩具等趣味单品。

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

1、弦歌相会，两岸青年共赴江南雅集

加纳与英格兰、克罗地亚、巴拿马同组，这是一个名副其实的死亡之组。

2、上海队做出了1个重要的决定！

英格兰方面，萨卡和戈登两大边锋状态很不错，加上状态火爆的凯恩和贝林厄姆，英格兰阵容实力和厚度还是要强于挪威的。

3、杜兰特因伤休战 申京休息阶段 乌度卡是怎么解决球队贫攻的问题

他如果能将这套思维植入米兰，卡马尔达这种已完成职业联赛初步考验、且依然保有很高天赋的球员，可能会迎来快速上升期。情况不妙，伊朗外长捅出实情，击杀哈梅内伊的漏洞，可能还存在维蒂尼亚和若昂·内维斯搭档双后腰，既能防守拦截又能出球组织，保证了中场的控制力。

4、伊劳拉：利物浦联系时我几乎没犹豫；我常说教练是球员的助手

沿着这条路，他们先后构建了Fysics物理引擎、MoziSim具身仿真训练平台、OmniFysics全模态物理AI基础模型、Fysiverse物理世界模型、 FysiData物理 AI 数据工厂和FysicsWorld/Eval评测基准等，形成了从引擎到应用层的完整技术栈。

5、搞丢1.25亿合同，旗下球员深陷丑闻，多次遭解雇，他是NBA最差经纪人

索斯盖特曾连续两届欧洲杯将英格兰带进决赛，却先后输给意大利和西班牙。

6、潮玩IP>吉祥物 Labubu的魅力你能懂吗？

以最新股价计算，3%公司股份对应的市值约为42亿元。

这套战术在世预赛阶段取得了5胜3平1负的不错战绩，但阵地攻坚能力严重不足，且下半场体能下滑明显。

本文资料来自长鑫科技招股书、发行公告、发行结果公告、业绩预告、SemiAnalysis报告、集邦咨询及多家券商研报。

7、在上海这场顶级赛车比赛，我看到《飞驰人生 3》的 AI 辅助系统走进现实

加时赛半场，马丁内斯触球次数全队最高，62次。

早有传统 富豪去现场看球这件事，在最近这几届世界杯上，已经不是太新鲜的事儿。

8、最近的奶茶店，靠卖均价20元的雪糕赚疯了?

如果一笔交易只有10%概率出现大收益，连续十次都亏损的概率是0.9的十次方，约为34.9%。

他在近期接受采访时明确表示：“我一直都是这个态度，只要教练和俱乐部需要我，我就会为这件球衣拼尽全力。

钛媒体：当前存储市场需求火爆，供不应求，希捷现阶段的工作重点是什么？ 俞康：因为很多客户的存储需求都在快速增长，所以我们一直在想办法提升容量、增加产能，更好满足客户需求。

四年前卡塔尔世界杯半决赛，法国曾2比0淘汰摩洛哥。